Football Data Engineer: ML/AI Pipelines, Remote

SumerSports LLC; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive Salary and Bonus Plan

Retirement savings plan (401k) with company match

Remote working environment

Flexible, unlimited time off policy

Generous paid holiday schedule - 13 in total

Job summary

A leading football intelligence technology company is looking for a Data Engineer to design and maintain data pipelines that support deep learning systems. Candidates should have 3-6 years of experience with strong Python and SQL skills, alongside expertise in big-data frameworks like Databricks and orchestration tools such as Airflow. This role offers a competitive salary, a remote working environment, and unlimited time off.

Qualifications

• 3–6 years of experience as a Data Engineer or ETL Developer.
• Strong familiarity with Databricks, Spark, or equivalent big-data frameworks.
• Experience with workflow orchestration tools such as Airflow or Dagster.

Responsibilities

• Build and operate robust data pipelines for ingestion, cleaning, and transformation.
• Develop efficient ETL/ELT workflows in Python and SQL.
• Collaborate with ML and AI teams to deliver high-quality datasets.

Skills

Python

SQL

Databricks

Workflow orchestration

Data modeling

Tools

Airflow

Spark

Docker

Kubernetes

Job description

A leading football intelligence technology company is looking for a Data Engineer to design and maintain data pipelines that support deep learning systems. Candidates should have 3-6 years of experience with strong Python and SQL skills, alongside expertise in big-data frameworks like Databricks and orchestration tools such as Airflow. This role offers a competitive salary, a remote working environment, and unlimited time off.